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Biotech Data Science Jobs in Boston, MA (NOW HIRING)

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ... As a mid-sized biotechnology company, we provide the stability and resources of a well-established ...

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ... As a mid-sized biotechnology company, we provide the stability and resources of a well-established ...

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... sciences (biotech, pharma, consulting) * Strong programming skills, particularly in Python

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Biotech Data Science information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do biotech data science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for biotech data science in Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Biotech data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and bioinformatics, and working in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some senior-level positions reaching or exceeding this salary level.

What are the most common challenges faced by professionals in Biotech Data Science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are the key skills and qualifications needed to thrive in the Biotech Data Science position, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What is a biotech data scientist?

A biotech data scientist analyzes biological and medical data to support research and development in the biotechnology industry. They use skills in statistics, programming, and machine learning, often working with tools like Python, R, and SQL to interpret complex datasets and inform decision-making.

What is a Biotech Data Science job?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

How can data science be used in biotechnology?

Biotech data scientists analyze large biological datasets to identify patterns, develop predictive models, and optimize processes such as drug discovery, genetic research, and personalized medicine. They use tools like machine learning, statistical analysis, and bioinformatics software to support research and development efforts in biotechnology companies and labs.

Can a biotechnologist become a data scientist?

A biotechnologist can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or education such as online courses or advanced degrees. Their background in biology and laboratory data can provide a strong foundation for analyzing complex datasets in data science roles within biotech and healthcare industries.
What are the most commonly searched types of Biotech Data Science jobs in Boston, MA? The most popular types of Biotech Data Science jobs in Boston, MA are:
What are popular job titles related to Biotech Data Science jobs in Boston, MA? For Biotech Data Science jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science jobs in Boston, MA look for? The top searched job categories for Biotech Data Science jobs in Boston, MA are:
What cities near Boston, MA are hiring for Biotech Data Science jobs? Cities near Boston, MA with the most Biotech Data Science job openings:
Infographic showing various Biotech Data Science job openings in Boston, MA as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $133,343 per year, or $64.1 per hour.
Advanced Manufacturing Process Analytics (Contractor)

Advanced Manufacturing Process Analytics (Contractor)

Vertex Pharmaceuticals Incorporated

Boston, MA • On-site

$55 - $65/hr

Other

Posted 17 days ago


Vertex Pharmaceuticals rating

6.5

Company rating: 6.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

78th of 86 rated pharmaceutical


Job description


Advanced Manufacturing Process Analytics Contractor
Location: Boston, MA
Duration: 12 months
About the Role
We are seeking an experienced Advanced Manufacturing Process Analytics Contractor to join our team for a 12-month assignment. This role is critical in driving data integration, visualization, and insight generation across small molecule and cell & gene therapy manufacturing operations. The ideal candidate will bring a strong background in pharma/biotech data analytics, with the ability to combine complex data sources, build impactful visualizations, and enable data-driven decisions that advance manufacturing excellence.
This is a highly collaborative role requiring both technical depth and strong communication skills. You will partner closely with cross-functional stakeholders in MS&T and IT to deliver scalable analytics solutions that improve process understanding and performance.
Key Responsibilities
Data Integration & Engineering
  • Aggregate and harmonize data from multiple sources including PI data historians, Snowflake, flat files, Statistica Enterprise, and other structured/unstructured data systems.
  • Build scalable, reliable pipelines to ensure data quality, accessibility, and consistency.

Visualization & Analytics
  • Develop intuitive dashboards and interactive applications (Python Dash, JMP, MATLAB, TIBCO Spitfire/Statistica) to visualize manufacturing process data.
  • Translate complex datasets into actionable insights, supporting both small molecule and advanced therapies.
  • Deploy analytics solutions on cloud environments (AWS) to ensure accessibility and scalability

Insight Generation & Decision Support
  • Apply statistical and data science methods to identify process trends, correlations, and improvement opportunities.
  • Collaborate with MS&T subject matter experts to contextualize insights and recommend process improvements.

Project & Stakeholder Management
  • Manage multiple projects, timelines, and deliverables with minimal oversight.
  • Communicate findings clearly and effectively to both technical and non-technical stakeholders.
  • Partner with cross-functional teams to ensure alignment of analytics solutions with business needs.

Required Qualifications
  • Bachelor's or Master's degree in Engineering, Data Science, Statistics, Computer Science, or related field.
  • 5+ years of experience in pharma/biotech data analytics, preferably within MS&T, manufacturing, or process development.
  • Proven expertise in:
    • Programming & Visualization: Python (Dash), JMP, MATLAB
    • Data Platforms: Snowflake, PI Data Historian, TIBCO Statistica/Spitfire
    • Cloud Deployment: AWS-based web app development and deployment
    • Strong understanding of pharma/biotech manufacturing data and GMP-related systems.
  • Demonstrated ability to manage projects independently and deliver results in fast-paced environments.
  • Excellent written and verbal communication skills, with the ability to distill complex analyses into clear, actionable insights.

Preferred Qualifications
  • Experience with advanced therapies (cell & gene) as well as small molecule manufacturing analytics.
  • Familiarity with data engineering best practices, ETL pipelines, and API integrations.
  • Experience applying multivariate statistics, machine learning, Generative AI or advanced modeling in a manufacturing context.
  • Strong interpersonal skills with a proven track record of stakeholder collaboration across technical and business teams.

Pay Range
$55-$65/HR
Requisition Disclaimer
This job posting is for a temporary role with a third-party agency partner on assignment at Vertex Pharmaceuticals ("Vertex"). The individual selected for this role will be offered the role as an employee of a third- party agency partner; compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by the third-party agency partner upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on a number of factors, including skills, competencies, experience, location and/or being pursued and other job-related factors permitted by law. In addition, this role will be eligible for overtime pay, in accordance with federal and state requirements
By applying for this position, you agree to the Atrium Terms and Conditions and you direct Atrium to share your application materials, which may include your CV/Resume, email address or phone number, with Vertex. For more information on how Vertex handles your personal data related to your job application, please see Vertex's Careers Privacy Notice. Agreeing to the Atrium Terms and Conditions, includes permission to use the email address and mobile phone number you provide during the application process or throughout the duration of your prospective or actual employment to notify you of job openings, profiles, articles, news, and other employment-related information, as well as to notify you of special promotions or additional products and services offered by us or our affiliates and partners
(collectively, "Atrium Alerts"). Atrium Alerts may be sent by email, phone, or text message. Your personal information will be safely stored within the Atrium & Vertex databases. Atrium does not sell your personal information to third parties. Text message and data rates may apply. To OPT OUT of text messaging or to modify your communication preferences for Atrium Alerts at any time, please contact Atrium at privacyadministrator@atriumstaff.com.
If you do not agree with the Atrium Terms and Conditions, you can still complete your application for this position by emailing your resume to our team at tempstaffing@vrtx.com. Please include the job title in the subject of your email.
No C2C or Third-Party Vendors

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